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11 May 1987 Development Of Knowledge Systems For Trouble Shooting Complex Production Machinery
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This paper discusses the use of knowledge base system software for microcomputers to aid repairmen in diagnosing electrical failures in complex mining machinery. The knowledge base is constructed to allow the user to input initial symptoms of the failed machine, and the most probable cause of failure is traced through the knowledge base, with the software requesting additional information such as voltage or resistance measurements as needed. Although the case study presented is for an underground mining machine, results have application to any industry using complex machinery. Two commercial expert-system development tools (M1 TM and Insight 2+TM) and an Al language (Turbo PrologTM) are discussed with emphasis on ease of application and suitability for this study.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard L Sanford, Thomas Novak, and James R. Meigs "Development Of Knowledge Systems For Trouble Shooting Complex Production Machinery", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987);

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